Detecting Tower Crane with Multi-Features
Hai Ming Yin · Applied Mechanics and Materials · 2014
In this paper, we present a new algorithm for tower crane detection in images with multi-feature analysis. The image will be segmented into several objects first, and then for each object, its color, texture and geometric features are extracted, and at last, all features extracted are fed to a trained SVM to generate the final judgment. Experiments show that our algorithm can detect tower crane in images with high recall and precision.